11 papers
Towards Robust Iris Recognition Through Occlusion Identification and Conditional Diffusion-Based Reconstruction
Kamrul Hasan, Mylene C. Q. Farias, Oleg V. Komogortsev
Iris recognition is a reliable biometric approach that identifies individuals using the distinctive and stable texture of the iris. However, recognition performance can degrade whe…
Enhancing Eye Movement Biometrics for User Authentication via Continuous Gaze Offset Score Fusion
Hashim Aziz, Mehedi Hasan Raju, Oleg V. Komogortsev
Eye movement biometrics (EMB) use subject-specific gaze dynamics for user authentication and identification. Recent deep learning-based EMB systems achieve strong performance by mo…
Gaze Authentication: Factors Influencing Authentication Performance
Dillon Lohr, Michael J Proulx, Mehedi Hasan Raju +1
This paper examines the key factors that influence the performance of state-of-the-art gaze-based authentication. Experiments were conducted on a large-scale, in-house dataset comp…
Privatization of Synthetic Gaze: Attenuating State Signatures in Diffusion-Generated Eye Movements
Kamrul Hasan, Oleg V. Komogortsev
The recent success of deep learning (DL) has enabled the generation of high-quality synthetic data, advancing the development of data-driven biometric applications. Among various b…
Eye Feel You: A DenseNet-driven User State Prediction Approach
Kamrul Hasan, Oleg V. Komogortsev
Subjective self-reports, collected with eye-tracking data, reveal perceived states like fatigue, effort, and task difficulty. However, these reports are costly to collect and chall…
Quantitative and Qualitative Comparison of Generative Models for Subject-Specific Gaze Synthesis: Diffusion vs GANs
Kamrul Hasan, Dmytro Katrychuk, Mehedi Hasan Raju +1
Gaze-based biometrics has emerged as a promising approach for user authentication, but advances in this area are constrained by the limited availability of high-quality, subject-sp…